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Deploy InferenceService with Alternative Networking Layer

KServe creates the top level Istio Virtual Service for routing to InferenceService components based on the virtual host or path based routing. Now KServe provides an option for disabling the top level virtual service to allow configuring other networking layers Knative supports. For example, Kourier is an alternative networking layer and the following steps show how you can deploy KServe with Kourier.

Install Kourier Networking Layer

Please refer to the Serverless Installation Guide and change the second step to install Kourier instead of Istio.

  1. Install the Kourier networking layer:

    kubectl apply -f https://github.com/knative/net-kourier/releases/download/${KNATIVE_VERSION}/kourier.yaml
    
  2. Configure Knative Serving to use Kourier:

    kubectl patch configmap/config-network \
    --namespace knative-serving \
    --type merge \
    --patch '{"data":{"ingress-class":"kourier.ingress.networking.knative.dev"}}'
    
  3. Verify Kourier installation:

    kubectl get pods -n knative-serving && kubectl get pods -n kourier-system
    

    Expected Output

    NAME                                      READY   STATUS    RESTARTS   AGE
    activator-77db7d9dd7-kbrgr                1/1     Running   0          10m
    autoscaler-67dbf79b95-htnp9               1/1     Running   0          10m
    controller-684b6bc97f-ffm58               1/1     Running   0          10m
    domain-mapping-6d99d99978-ktmrf           1/1     Running   0          10m
    domainmapping-webhook-5f998498b6-sddnm    1/1     Running   0          10m
    net-kourier-controller-68967d76dc-ncj2n   1/1     Running   0          10m
    webhook-97bdc7b4d-nr7qf                   1/1     Running   0          10m
    NAME                                      READY   STATUS    RESTARTS   AGE
    3scale-kourier-gateway-54c49c8ff5-x8tgn   1/1     Running   0          10m
    
  4. Edit inferenceservice-config configmap to disable Istio top level virtual host:

    kubectl edit configmap/inferenceservice-config --namespace kserve
    # Add the flag `"disableIstioVirtualHost": true` under the ingress section
    ingress : |- {
        "disableIstioVirtualHost": true
    }
    
  5. Restart the KServe Controller

    kubectl rollout restart deployment kserve-controller-manager -n kserve
    

Deploy InferenceService for Testing Kourier Gateway

Create the InferenceService

apiVersion: "serving.kserve.io/v1beta1"
kind: "InferenceService"
metadata:
  name: "pmml-demo"
spec:
  predictor:
    model:
      modelFormat:
        name: pmml
      storageUri: "gs://kfserving-examples/models/pmml"
apiVersion: "serving.kserve.io/v1beta1"
kind: "InferenceService"
metadata:
  name: "pmml-demo"
spec:
  predictor:
    pmml:
      storageUri: gs://kfserving-examples/models/pmml
kubectl apply -f pmml.yaml

Expected Output

$ inferenceservice.serving.kserve.io/pmml-demo created

Run a Prediction

Note that when setting INGRESS_HOST and INGRESS_PORT following the determining the ingress IP and ports guide you need to replace istio-ingressgateway with kourier-gateway.

For example if you choose to do Port Forward for testing you need to select the kourier-gateway pod as following.

kubectl port-forward --namespace kourier-system \
$(kubectl get pod -n kourier-system -l "app=3scale-kourier-gateway" --output=jsonpath="{.items[0].metadata.name}") 8080:8080
export INGRESS_HOST=localhost
export INGRESS_PORT=8080

Make sure that you create a file named pmml-input.json with the following content, under your current terminal path.

{
   "instances": [
      [5.1, 3.5, 1.4, 0.2]
   ]
}

Send a prediction request to the InferenceService and check the output.

MODEL_NAME=pmml-demo
INPUT_PATH=@./pmml-input.json
SERVICE_HOSTNAME=$(kubectl get inferenceservice pmml-demo -o jsonpath='{.status.url}' | cut -d "/" -f 3)
curl -v -H "Host: ${SERVICE_HOSTNAME}" -H "Content-Type: application/json" http://${INGRESS_HOST}:${INGRESS_PORT}/v1/models/$MODEL_NAME:predict -d $INPUT_PATH

Expected Output

* Trying 127.0.0.1...
* TCP_NODELAY set
* Connected to localhost (127.0.0.1) port 8080 (#0)
> POST /v1/models/pmml-demo:predict HTTP/1.1
> Host: pmml-demo-predictor-default.default.example.com
> User-Agent: curl/7.58.0
> Accept: */*
> Content-Length: 45
> Content-Type: application/x-www-form-urlencoded
>
* upload completely sent off: 45 out of 45 bytes
< HTTP/1.1 200 OK
< content-length: 144
< content-type: application/json; charset=UTF-8
< date: Wed, 14 Sep 2022 13:30:09 GMT
< server: envoy
< x-envoy-upstream-service-time: 58
<
* Connection #0 to host localhost left intact
{"predictions": [{"Species": "setosa", "Probability_setosa": 1.0, "Probability_versicolor": 0.0, "Probability_virginica": 0.0, "Node_Id": "2"}]}
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